Fuzzy classification

All the three techniques mentioned above may make use of fuzzy sets and fuzzy logic (for fuzzy classification, fuzzy rules or fuzzy matching) but this does not effect the discussion of the applicability to NDT problems in the next section. 

The fuzzy classification method groups objects into categories without defined boundaries so as to take into account the degree of similarity of the considered object with respect to the others (Du and Sun, 2004). 

Fig. 8.20. Capacity and fuzzy classification of cycling, floating and self-discharge performance of lead-acid batteries operated for three years.

Figure 9.5 The performance of Gleeson s fuzzy classification on CYP P450 models.

TT-106 and FT-106 transmitters report and record the state of target variables and instruct the system to define the desired flow of hot and cold water. Several variants of supervisory controls exist, but it is commonplace to look for a system that uses fuzzy logic to determine the changes in the set point of the process loops. An example of a fuzzy classification of the shower case is as follows ... 

HIERARCHICAL FUZZY CLASSIFICATION OF CHEMICAL ELEMENTS BASED ON TEN PHYSICAL PROPERTIES... 

Hoffmann F. (2004). Combining boosting and evolutionary algorithms for learning of fuzzy classification rules. Fuzzy Sets Syst., 141, 47-58. 

Table Itabulates the range of input parameters used in fuzzy classification model.

The mass, velocity, charge, and lifetime properties of the bondons were employed to analyze some typical chemical bonds (see Table 1), thus revealing a sort of fuzzy classification of chemical bonding types in terms of the bondon-to-electron mass and charge ratios and and of the bondon-to-light velocity percent ratio along with the bondonic observable life time, tg, as summarized in Table 3. 

---